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Order of files (Contrast t-maps and ICC maps): - 1-7: T-Maps for initial submission - 8-end: GLM- and PPI (re-)analysis results (final revision, software version: SPM8)

Condition-wise and block-wise maps from our manuscript "Thought experiment: decoding cognitive processes from the fMRI data of one individual"

Contrast maps for the paper Hierarchical competitions subserving multi-attribute choice, Hunt LT et al., Nature Neuroscience 2014. Paper abstract: Valuation is a key tenet of decision neuroscience, where it is generally assumed that different attributes of competing options are assimilated into unitary values. Such values are central to current neural models of choice. By contrast, psychological studies emphasize complex interactions between choice and valuation. Principles of neuronal selection also suggest that competitive inhibition may occur in early valuation stages, before option selection. We found that behavior in multi-attribute choice is best explained by a model involving competition at multiple levels of representation. This hierarchical model also explains neural signals in human brain regions previously linked to valuation, including striatum, parietal and prefrontal cortex, where activity represents within-attribute competition, competition between attributes and option selection. This multi-layered inhibition framework challenges the assumption that option values are computed before choice. Instead, our results suggest a canonical competition mechanism throughout all stages of a processing hierarchy, not simply at a final choice stage.

Humans are social beings whose interaction with others constitutes an important part of our well-being. In these social interactions there are certain factors that are essential for us to feel comfortable. One of these factors is to keep a proper “breathing space”. A physical distance to whom we interact, to not have our personal space violated. This space we keep to others is called interpersonal distance (IPD) and might be altered depending on the situation. In the recent decade the neural correlates of IPD have been investigated. The current systematic review aimed to investigate the existing literature on the neural correlations of IPD and how it relates to IPD-behaviour. A systematic search was made in the electric databases Scopus and PubMed. Nine articles remained to be reviewed after screening and selection was done.The results showed the superior parietal cortex, the medial prefrontal cortex, motor areas, occipital areas, and the amygdala to be the most prominent structural brain areas to be involved in IPD. Some functional connections between mentioned brain areas were found but needs to be replicated for better knowledge. The review provides insight into the neural nature of IPD and its behavioural basis.

Highlights First whole-brain probabilistic tractography study in Parkinson's disease High quality diffusion-weighted images (120 gradient directions, b = 2500 s/mm2) Voxel-based group analysis comparing early-stage patients and controls Abnormal reconstructed track density in the nigrostriatal pathway and brainstem Track density also increased in limbic and cognitive circuits.

Objective: To develop a new device for identifying physiological markers of pain perception by reading the brain's electrical activity and hemodynamic interactions while applying thermoalgesic stimulation. Methods: We designed a compact prototype that generates well-controlled thermal stimuli using a computer-driven Peltier cell while simultaneously capturing electroencephalography (EEG) and photoplethysmography (PPG) signals. The study was performed on 35 healthy subjects (mean age 30.46 years, SD 4.93 years; 20 males, 15 females). We first determined the heat pain threshold (HPT) for each subject, defined as the maximum temperature that the subject can withstand when the Peltier cell gradually increased the temperature. Next, we defined the painful condition as the one occurring at temperature equal to 90% of the HPT, comparing this to the no-pain state (control) in the absence of thermoalgesic stimulation. Results: Both the one-dimensional and the two-dimensional spectral entropy (SE) obtained from both the EEG and PPG signals differentiated the condition of pain. In particular, the SE for PPG was significantly reduced in association with pain, while the SE for EEG increased slightly. Moreover, significant discrimination occurred within a specific range of frequencies, 26-30 Hz for EEG and about 5-10 Hz for PPG. Conclusion: Hemodynamics, brain dynamics and their interactions can discriminate thermal pain perception. Significance: The possibility of monitoring on-line variations in thermal pain perception using a similar device and algorithms may be of interest to study different pathologies that affect the peripheral nervous system, such as small fiber neuropathies, fibromyalgia or painful diabetic neuropathy.

Thresholded and unthresholded contrasts from analyses described in the paper, Sherman, L.E., Payton, A.A., Hernandez, L.M., Greenfield, P.M., & Dapretto, M. (in press). The power of the “like” in adolescence: Effects of peer influence on neural and behavioral responses to social media. Psychological Science. All thresholded images are shown with a Z > 2.3, cluster corrected for multiple comparisons at p fixation in order to restrict whole-brain findings to regions of significant task-related activity (Mask included in this collection) Images without this suffix are unthresholded cope images. Questions or comments: lauren dot sherman at temple dot edu

Unthresholded statistical maps for an fMRI study assessing viewpoint-independent spatial representations in scene-selective regions of the cortex.